Classification of vegetation and soil using imaging spectrometer data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 35, Issue , 2004, Pages 83-87

  Lumme, J H ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Classification; Hyper spectral; Land cover; Pushbroom; Remote sensing

Indexed keywords

ALGORITHMS; INFRARED DEVICES; MAXIMUM LIKELIHOOD; PIXELS; PRINCIPAL COMPONENT ANALYSIS; REFLECTION; REMOTE SENSING; SPECTROMETERS; VEGETATION;

AIRBORNE IMAGING SPECTROMETERS; CLASSIFICATION ALGORITHM; HYPERSPECTRAL; HYPERSPECTRAL DATA CLASSIFICATION; LAND COVER; MAXIMUM LIKELIHOOD CLASSIFICATIONS; MAXIMUM LIKELIHOOD CLASSIFIERS; PUSHBROOM;

CLASSIFICATION (OF INFORMATION);

EID: 84858046686     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Boardman, J., 1994. Geometric mixture analysis of imaging spectrometry data. In: International Geoscience and Remote Sensing Symposium, IGARSS '94, Surface and atmospheric remote sensing: technologies, data analysis and interpretation. California, USA, Vol. IV, pp. 2369-2371.
2. Carvalho, O. & Meneses, P., 2000. Spectral Correlation Mapper (SCM): An Improving Spectral Angle Mapper. In: Ninth JPL Airborne Earth Science Workshop. Pasadena, CA, JPL Publication 00-18, pp. 65-74.
3. Kallio, K., Kutser, T., Hannonen, T., Koponen, S., Pulliainen, J., Vepsäläinen, J., Pyhälahti, T. 2001. Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons. Science of the Total Environment, 268, pp. 59-77.
4. Kruse, F., Lefkoff, A., Boardman, J., Heidebrecht, K., Shapiro, A., Barloon, P. & Goetz, A. 1993. The spectral image processing system (SIPS) -interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment, 44(2-3), pp. 145-163.
5. Mäkisara, K. & Tomppo E. 1996. Airborne imaging spectrometer in National Forest Inventory. In: International Geoscience and Remote Sensing Symposium, IGARSS '96, Remote sensing for a sustainable future. New York, USA, Vol. II, pp. 1010-1013.
6. Ruohomäki, T., Törmä, M., Rainio, H., Lumme, J. & Mäkilä, M. 2002. Soil types, vegetation and AISA-imagery in Lammi test area. Geological Survey of Finland, GTK/RS/2002/6